{"id":"W4386506824","doi":"10.1016/j.serev.2023.100016","title":"Impacts of rule changes on the MLS SuperDraft","year":2023,"lang":"en","type":"article","venue":"Sports Economics Review","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Thompson Rivers University","funders":"Canadian Statistical Sciences Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"League; Sign (mathematics); Work (physics); Econometrics; Economics; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001489024,0.0001819616,0.0006708166,0.0001854745,0.00007989914,0.00002965865,0.0003103144,0.00006003327,0.002099716],"category_scores_gemma":[0.00006110017,0.0001488746,0.0002031039,0.000346706,0.0000599089,0.00007476197,0.00006448227,0.000121735,0.001070773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004705895,"about_ca_system_score_gemma":0.00003004823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001302303,"about_ca_topic_score_gemma":0.00007306756,"domain_scores_codex":[0.9985362,0.000005358806,0.0007842107,0.000324556,0.00003425888,0.0003154679],"domain_scores_gemma":[0.9985867,0.0000521139,0.0005792975,0.000674805,0.00002599819,0.00008112477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001394835,0.0001004789,0.1260976,0.001942849,0.0001656802,0.00001776109,0.0002823183,0.0004172248,0.000004760071,0.817113,0.03490012,0.01894427],"study_design_scores_gemma":[0.0001477583,0.00005825322,0.05075617,0.0008177491,0.0000204209,0.00000580501,0.00002886155,0.001160875,0.00007811879,0.01011063,0.9364803,0.0003349854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036034,0.04117943,0.000004196179,0.01050193,0.0006913482,0.0006250759,0.0002883567,0.00005848133,0.04304782],"genre_scores_gemma":[0.631651,0.3646191,0.000009962248,0.002417023,0.00009990703,0.00002786295,0.00004064047,0.00002773711,0.001106794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9015803,"threshold_uncertainty_score":0.999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05510015063705311,"score_gpt":0.2474915401607006,"score_spread":0.1923913895236475,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}